Enhancing Thermo-Acoustic Waste Heat Recovery through Machine Learning: A Comparative Analysis of Artificial Neural Network–Particle Swarm Optimization, Adaptive Neuro Fuzzy Inference System, and Artificial Neural Network Models
Waste heat recovery stands out as a promising technique for tackling both energy shortages and environmental pollution. Currently, this valuable resource, generated through processes like fuel combustion or chemical reactions, is often dissipated into the environment, despite its potential to signif...
Main Authors: | Miniyenkosi Ngcukayitobi, Lagouge Kwanda Tartibu, Flávio Bannwart |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | AI |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-2688/5/1/13 |
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